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Qwen1.5 7B Sft 0502 by WDong

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Qwen1.5 7B Sft 0502 is an open-source language model by WDong. Features: 7b LLM, VRAM: 15.4GB, Context: 32K, License: mit, HF Score: 62, LLM Explorer Score: 0.15, Arc: 55.1, HellaSwag: 77.2, MMLU: 61.7, TruthfulQA: 50.7, WinoGrande: 71.7, GSM8K: 55.6.

  Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/WDong/Qwen1.5-7B-sft-0502 

Qwen1.5 7B Sft 0502 Benchmarks

ARC: 55.12 vs 96.7 (so35)-43%
HellaSwag: 77.18 vs 95.3 (gpt4)-19%
MMLU: 61.68 vs 88.3 (so35)-30.1%
TruthfulQA: 50.72 vs 59 (gpt4)-14%
WinoGrande: 71.67 vs 87.5 (gpt4)-18.1%
GSM8K: 55.57 vs 96.4 (so35)-42.4%
LLME Score: 0.15096
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 7B Sft 0502 (WDong/Qwen1.5-7B-sft-0502)
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Qwen1.5 7B Sft 0502 Parameters and Internals

Model Type 
transformer-based, decoder-only, language model
Use Cases 
Considerations:
More information needed
Training Details 
Data Sources:
alpaca_formatted_ift_eft_dft_rft_2048
Methodology:
fine-tuning
Hardware Used:
multi-GPU - 2 devices
Model Architecture:
decoder-only transformer
LLM NameQwen1.5 7B Sft 0502
Repository 🤗https://huggingface.co/WDong/Qwen1.5-7B-sft-0502 
Model Size7b
Required VRAM15.4 GB
Updated2025-09-23
MaintainerWDong
Model Typeqwen2
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   2.0 GB: 5-of-8   2.0 GB: 6-of-8   2.0 GB: 7-of-8   1.6 GB: 8-of-8
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than WDong/Qwen1.5-7B-sft-0502.

Rank the Qwen1.5 7B Sft 0502 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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